code: def __init__(
      self,
      bert_inputs,
      grid_labels,
      grid_mask2d,
      pieces2word,
      dist_inputs,
      sent_length,
      entity_text,
  ):
      self.bert_inputs = bert_inputs
      self.grid_labels = grid_labels
      self.grid_mask2d = grid_mask2d
      self.pieces2word = pieces2word
      self.dist_inputs = dist_inputs
      self.sent_length = sent_length
      self.entity_text = entity_text
  
imports: import json
  import torch
  from torch.utils.data import Dataset
  from torch.nn.utils.rnn import pad_sequence
  import numpy
  import prettytable
  from tqdm import tqdm
  from transformers import AutoTokenizer
  import os
  from deepke.name_entity_re.standard.tools import *
  import requests
  from typing import List
  from .utils import convert_index_to_text
label_desc: Use image node_id 1 to create a new RelationDataset object from inherited base classes: Dataset with example: obj = RelationDataset(bert_inputs, grid_labels, grid_mask2d, pieces2word, dist_inputs, sent_length, entity_text)